code: def __init__(self, hidden_dim=128, learning_rate=1e-3):
      super().__init__()
      self.save_hyperparameters()
  
      self.l1 = torch.nn.Linear(28 * 28, self.hparams.hidden_dim)
      self.l2 = torch.nn.Linear(self.hparams.hidden_dim, 10)
  
file_path: clearml/examples/frameworks/pytorch-lightning/pytorch_lightning_example.py
imports: import sys
  from argparse import ArgumentParser
  import pytorch_lightning
  import torch
  from torch.nn import functional
  from torch.utils.data import DataLoader, random_split
  from torchvision import transforms
  from torchvision.datasets.mnist import MNIST
  from clearml import Task
label_desc: Use image node_id 1 to create a new LitClassifier object from inherited base classes: pl with example: obj = LitClassifier(hidden_dim, learning_rate)